发电技术2025，Vol.46Issue(3)：421-437,17.DOI:10.12096/j.2096-4528.pgt.24240
电力系统智能计算的关键技术及应用展望
Key Technologies and Application Prospects of Intelligent Computing in Power Systems
摘要
Abstract
[Objectives]The construction and application of new-type power systems driven by China's"dual carbon"goals have demonstrated unprecedented complex dynamics characteristics,featuring a high-proportion integration of renewable energy and power electronic devices,posing new challenges to the safe and stable operation of power systems.Intelligent computing in power systems leverages new-generation artificial intelligence technologies—especially large models and pre-training techniques—to achieve the integration of physical models,data-driven models,and knowledge models,thereby developing a novel calculation and analysis method for power systems.This study reviews and discusses the applications of intelligent computing methods and technologies in the analysis,optimization,operation,scheduling,and control of new-type power systems.[Methods]First,the concept and key technologies of intelligent computing in power systems are introduced.Technical roadmaps are discussed through case studies on intelligent processing in key areas such as time-series prediction,security region optimization,and multi-energy microgrid collaborative optimization.Finally,the prospects of potential applications are explored.[Conclusions]Intelligent algorithms outperform traditional methods across multiple evaluation indicators,significantly enhancing prediction accuracy and control efficiency.The results validate the potential of intelligent computing in calculation and analysis for power systems,providing an effective intelligent pathway for new-type power systems and holding substantial significance for the development of intelligent power systems.关键词
智能计算/新型电力系统/可再生能源/大模型/人工智能(AI)/电网运行控制/优化调控/智能评估Key words
intelligent computing/new-type power system/renewable energy/large model/artificial intelligence(AI)/power grid operation and control/optimal dispatch/intelligent evaluation分类
能源与动力引用本文复制引用
张俊,蒲天骄,高文忠,刘友波,裴玮,许沛东,高天露,白昱阳..电力系统智能计算的关键技术及应用展望[J].发电技术,2025,46(3):421-437,17.基金项目
新一代人工智能国家科技重大专项(2021ZD0112700).Project Supported by New Generation Artificial Intelligence Major National Science and Technology Project(2021ZD0112700). （2021ZD0112700）
